DeepAgents is an agent harness from the LangChain ecosystem, equipped with planning tools, a filesystem backend, and subagent spawning for handling complex multi-step tasks.
License
MIT
Stars
23,914
Features
- Deep LangChain/LangGraph integration
- Built-in planning utilities
- Subagent spawning and collaboration
- Filesystem-backed execution
- Designed for complex task chains
- Open source for customization
Use Cases
- Compare DeepAgents when the need is agent orchestration and the repo summary matches: Agent harness framework built with LangChain and LangGraph
- Compare DeepAgents's implementation approach before committing to an internal build.
- Use DeepAgents to test agent coordination patterns with a concrete open-source codebase.
- Use DeepAgents to study developer-tooling implementation details before building internal workflows.
FAQ
DeepAgents is an agent harness from the LangChain ecosystem, equipped with planning tools, a filesystem backend, and subagent spawning for handling complex multi-step tasks. Repository: https://github.com/langchain-ai/deepagents.
Common real-world fits include: Compare DeepAgents when the need is agent orchestration and the repo summary matches: Agent harness framework built with LangChain and LangGraph, Compare DeepAgents's implementation approach before committing to an internal build., Use DeepAgents to test agent coordination patterns with a concrete open-source codebase..
